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when I evaluate the batch images and test the same image, the result is different, evaluate accuracy is almost 0.98,but the same image test result is bad,what's wrong?Here is my evaluate result and te…
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-- with @tierex, @mrshenli, @kiukchung, @pritamdamania, @lw, @agolynski , @osalpekar, @zhaojuanmao, @rohan-varma
## 🚀 Feature
Concept and a new set of rpc APIs in `torch.distributed.rpc` aiming to…
iffiX updated
4 years ago
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CUDA out of memory.
I encountered the following problems when training the model. I wonder if the author is loading all the data into memory? Is there any other way to solve this problem? Thank you …
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https://github.com/ayumiymk/aster.pytorch/blob/36e73daf0808dc6e6bcda64ca497b672da959105/lib/models/stn_head.py#L90
Why need to * 0.1 to img_feat? Thanks!
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![image](https://user-images.githubusercontent.com/12935189/66270490-e8c50b00-e886-11e9-8ee8-5c505a9335b7.png)
Is there something wrong?
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File "/home/water/Downloads/aster.pytorch-master/lib/models/attention_recognition_head.py", line 75, in beam_search
batch_size, l, d = x.size()
ValueError: too many values to unpack (expected …
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那下面的aster.pytorch指的是什么条件下的结果?求解答~~
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tar: This does not look like a tar archive
tar: Skipping to next header
tar: Exiting with failure status due to previous errors
Dear author:
how can i sovle this problem, thanks for answer.
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~/aster.pytorch/lib/models/model_builder.py in forward(self, input_dict)
89 return_dict['losses']['loss_rec'] = loss_rec
90 else:
---> 91 rec_pred, rec_pred_scores = self.…
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你好,我用虚拟生成的10个字的数据进行训练,https://pan.baidu.com/s/1dFda6R3#list/path=%2F ,训练之后,在预测的时候结果也总是10个字左右,少于10个字的图片,预测就有重复字,多于10个字的图片,预测就会丢字,总之最后的结果都会是10±2个字,请问这是什么情况啊,不是应该支持不定长的识别么